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Quantitative Portfolio Optimisation, Asset Allocation and Risk Management by Mikkel Rasmussen
  • Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

  • A Practical Guide to Implementing Quantitative Investment Theory

  • by Mikkel Rasmussen
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    • Product code: 15530
    • ISBN: 1403904588, ISBN13: 9781403904584, 464 pages, hardback
      Published by Palgrave MacMillan on 2002 , 1st
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    Description of Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

    Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical text serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, value at risk and extreme value theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.

    Contents of Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

    PART 1: A BASIS FOR QUANTITATIVE PORTFOLIO MANAGEMENT
    Asset Management Basics
    Asset Return
    Asset Risk
    Asset Pricing


    PART 2: MODERN PORTFOLIO THEORY
    Efficient Portfolios and Quantitative Portfolio Optimisation
    Estimating Model Parameters


    PART 3: QUANTITATIVE ASSET ALLOCATION
    Quantitative Portfolio Construction and Asset Allocation
    QuasiRandom Monte Carlo Simulated Asset Allocation (QRMCSAA)
    Strategic and Tactical Asset Allocation
    QRMCSAA Applied to Sector Rotation


    PART 4: QUANTITATIVE RISK MANAGEMENT
    Tracking Error, Information Ratio and Active Management Value Added
    Sector Risk Model
    Value at Risk
    Extreme Value Theory

    About Mikkel Rasmussen

    MIKKEL RASMUSSEN has an MSc in Economics and has worked both as a risk management consultant and equity portfolio manager. He currently manages Japanese equities at AEGON Asset Management in the Netherlands.

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